OPTIMIZATION METHOD USING GENETIC ALGORITHMS FOR RAINFALL-RUNOFF AND FLOOD INUNDATION FLOW ANALYSIS

Abstract

 In this study, an optimization method using a genetic algorithm was developed for rainfall-runoff and flood inundation analysis, and the effectiveness of the optimization method was examined by applying it to the Kagetsu river during North Kyushu heavy rain in 2017 and comparing the results with existing analyses. It shows that the method (1) enables the estimation of flow discharge and optimization of basin parameters based on rainfall and water level information, (2) improves the reproducibility of inundated areas, although the reproducibility of water level and discharge hydrographs is comparable, and (3) estimates optimal parameters more efficiently than the empirical method.